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Molecular profiling to identify molecular mechanism in esophageal cancer with familial clustering.

ABSTRACT: To identify the genes and molecular functional pathways involved in esophageal cancer, we analyzed the gene expression profile of esophageal tumor tissue from patients having family history of esophageal cancer by cDNA microarray. Three hundred and fifty differentially expressed genes (26 up-regulated and 324 down-regulated) were identified. Genes involved in humoral immune response (PF4), extracellular matrix organization (COL4A4), metabolism of xenobiotics (EPHX1), TGF-beta signaling (SMAD1) and calcium signaling pathways (VDAC1) were down-regulated and genes involved in regulation of actin cytoskeleton (WASL), neuroactive ligand receptor interaction (GRM3), Toll-like receptor (CD14), B-cell receptor (IFITM1) and insulin signaling pathways (FOXO1A) were up-regulated. Validation of differential expression of subset of genes by QRT-PCR and tissue microarray in familial and non-familial cases showed no significant difference in expression of these genes in two groups suggesting familial clustering occurs as result of sharing of common environmental factors. Gene expression profiling of clinical specimens from well characterized populations that have familial clustering of cancer identified molecular mechanism associated with progression of esophageal cancer.

SUBMITTER: Chattopadhyay I

PROVIDER: S-EPMC7556320 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature

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Molecular profiling to identify molecular mechanism in esophageal cancer with familial clustering.

Chattopadhyay Indranil I Phukan Rupkumar R Singh Avninder A Vasudevan Madavan M Purkayastha Joydeep J Hewitt Stephen S Kataki Amal A Mahanta Jagadish J Kapur Sujala S Saxena Sunita S

Oncology reports 20090501 5

To identify the genes and molecular functional pathways involved in esophageal cancer, we analyzed the gene expression profile of esophageal tumor tissue from patients having family history of esophageal cancer by cDNA microarray. Three hundred and fifty differentially expressed genes (26 up-regulated and 324 down-regulated) were identified. Genes involved in humoral immune response (PF4), extracellular matrix organization (COL4A4), metabolism of xenobiotics (EPHX1), TGF-beta signaling (SMAD1) a ...[more]

PMID: 19360286

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Project description:BackgroundFamily history of bladder cancer confers an increased risk for concordant and discordant cancers in relatives. However, previous studies investigating this relationship lack any correction for smoking status of family members. We conducted a population-based study of cancer risks in relatives of bladder cancer patients and matched controls with exclusion of variant subtypes to improve the understanding of familial cancer clustering.MethodsCase subjects with urothelial carcinoma were identified using the Utah Cancer Registry and matched 1:5 to cancer-free controls from the Utah Population Database. Cox regression was used to determine the risk of cancer in first-degree relatives, second-degree relatives, first cousins, and spouses. A total of 229 251 relatives of case subjects and 1 197 552 relatives of matched control subjects were analyzed. To correct for smoking status, we performed a secondary analysis excluding families with elevated rates of smoking-related cancers. All statistical tests were two-sided.ResultsFirst- and second-degree relatives of case subjects had an increased risk for any cancer diagnosis (hazard ratio [HR] = 1.06, 95% confidence interval [CI] = 1.03 to 1.09, P < .001; HR = 1.04, 95% CI = 1.02 to 1.07, P = .001) and urothelial cancer (HR = 1.73, 95% CI = 1.50 to 1.99, P < .001; HR = 1.35, 95% CI = 1.21 to 1.51, P < .001). Site-specific analysis found increased risk for bladder (HR = 1.69, 95% CI = 1.47 to 1.95, P < .001), kidney (HR = 1.30, 95% CI = 1.08 to 1.57, P = .006), cervical (HR = 1.25, 95% CI = 1.06 to 1.49, P = .01), and lung cancer (HR = 1.34, 95% CI = 1.19 to 1.51, P < .001) in first-degree relatives. Second-degree relatives had increased risk for bladder (HR = 1.35, 95% CI = 1.2 to 1.5, P < .001) and thyroid cancer (HR = 1.18, 95% CI = 1.03 to 1.35, P = .02). Spouses showed an increased risk for laryngeal (HR = 2.68, 95% CI = 1.02 to 7.05, P = .04) and cervical cancer (HR = 1.57, 95% CI = 1.13 to 2.17, P = .007). These results did not substantively change after correction for suspected smoking behaviors.ConclusionOur results suggest familial urothelial cancer clustering independent of smoking, with increased risk in relatives for both concordant and discordant cancers, suggesting shared genetic or environmental roots. Identifying families with statistically significant risks for non-smoking-related urothelial cancer would be extremely informative for genetic linkage studies.

Project description:BACKGROUND: In more than 70% of families with a strong history of breast and ovarian cancers, pathogenic mutation in BRCA1 or BRCA2 cannot be identified, even though hereditary factors are expected to be involved. It has been proposed that tumors with similar molecular phenotypes also share similar underlying pathophysiological mechanisms. In the current study, the aim was to investigate if global RNA profiling can be used to identify functional subgroups within breast tumors from families tested negative for BRCA1/2 germline mutations and how these subgroupings relate to different breast cancer patients within the same family. METHODS: In the current study we analyzed a collection of 70 frozen breast tumor biopsies from a total of 58 families by global RNA profiling and promoter methylation analysis. RESULTS: We show that distinct functional subgroupings, similar to the intrinsic molecular breast cancer subtypes, exist among non-BRCA1/2 breast cancers. The distribution of subtypes was markedly different from the distribution found among BRCA1/2 mutation carriers. From 11 breast cancer families, breast tumor biopsies from more than one affected family member were included in the study. Notably, in 8 of these families we found that patients from the same family shared the same tumor subtype, showing a tendency of familial aggregation of tumor subtypes (p-value = 1.7e-3). Using our previously developed BRCA1/2-signatures, we identified 7 non-BRCA1/2 tumors with a BRCA1-like molecular phenotype and provide evidence for epigenetic inactivation of BRCA1 in three of the tumors. In addition, 7 BRCA2-like tumors were found. CONCLUSIONS: Our finding indicates involvement of hereditary factors in non-BRCA1/2 breast cancer families in which family members may carry genetic susceptibility not just to breast cancer but to a particular subtype of breast cancer. This is the first study to provide a biological link between breast cancers from family members of high-risk non-BRCA1/2 families in a systematic manner, suggesting that future genetic analysis may benefit from subgrouping families into molecularly homogeneous subtypes in order to search for new high penetrance susceptibility genes.

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Molecular profiling to identify molecular mechanism in esophageal cancer with familial clustering.

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Molecular profiling to identify molecular mechanism in esophageal cancer with familial clustering.

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